ORIGINAL RESEARCH ARTICLE Open Access Survival outcomes of First l
Bibliographic record
Abstract
is available at the end of the articleIntroduction Oral cavity squamous cell carcinoma (OCSCC) is the most common head and neck cancer, affecting approxi-mately 2000 Canadians every year [1]. The most common risk factors associated with OCSCC are tobacco and alco-hol use [2]. These factors independently increase the risk of OCSCC, but also have a synergistic effect when used in combination [3]. Overall, the incidence of OCSCC is de-creasing, which is thought to be related to decreased smoking rates. Data from the Canadian Cancer Registry between 1992 and 2007 demonstrates a decrease in inci-dence of oral cavity cancer by 2.1 % for men and 0.4 % for women [4]. This registry has also shown that survival out-comes are improving for OCSCC with an 8.1 % increase in survival for men [4]. These trends of decreasing incidence
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.079 | 0.012 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".